Artificial Neural Computer For Image Tracking

E S McVey; R M Inigo; J Minnix; J Sigda; Z. Rahman

doi:10.1117/12.951678

17 May 1989 Artificial Neural Computer For Image Tracking

E S McVey, R M Inigo, J Minnix, J Sigda, Z. Rahman

Proceedings Volume 1058, High Speed Computing II; (1989) https://doi.org/10.1117/12.951678
Event: OE/LASE '89, 1989, Los Angeles, CA, United States

Abstract

This paper presents an overview of a proposed machine vision system which uses artificial neural network type computing to track rapidly moving objects in space. Artificial neural networks theoretically have inherent advantages for this task such as real time computing speed and relatively small hardware size. The system is required to recognize the object in the presence of some other patterns, determine its location relative to a frame of reference and compute its velocity. Trainable ANNs are proposed to solve the computation problem.

Citation Download Citation

E S McVey, R M Inigo, J Minnix, J Sigda, and Z. Rahman "Artificial Neural Computer For Image Tracking", Proc. SPIE 1058, High Speed Computing II, (17 May 1989); https://doi.org/10.1117/12.951678

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